WhddlmZddlmZddlmZmZmZmZm Z m Z ddl Z ddl m Z mZddlmZddlmZmZddlmZmZmZmZmZmZmZmZmZmZm Z m!Z!dd l"m#Z$m%Z&dd l'm(Z(dd l)m*Z+dd l,m-Z-m.Z.m/Z/dd l0m1Z2ddl3m4Z5ddl6m7Z7m8Z8m9Z9ddl:m;Z;mZ>m?Z?m@Z@mAZAmBZBmCZCmDZDmEZEmFZFmGZGmHZHmIZImJZJmKZKmLZLmMZMmNZNmOZOmPZPmQZQmRZRmSZSmTZTmUZUmVZVddlWmXZXmYZYddlZm[Z[m\Z\m]Z]erddl^m_Z_m`Z`maZaddlbmcZcddldmeZemfZfddlgmhZhddlimjZjmkZkmlZlmmZmmnZnmoZompZpddl"mqZqmrZrddlsmtZtddlumvZvmwZwmxZxmyZymzZzm{Z{m|Z|m}Z}m~Z~mZeddZeddZed d!Zed"e#Zeed$Zed%Zed&d'e(ZGd)d*e$eXZ#Gd+d,e&eYZ%Gd-d.e5eZ4Gd/d0e+Z*Gd1d2e2Z1e dd3Ze dd4Ze dd5Ze dd6Z dd7Ze dd8Ze dd9Ze dd:Ze dd;Ze dZe dZGddej@e*ZddZed dddd ddZedddd ddZe dddd ddZed dddd ddZedddd ddZedddd ddZedddd ddZedddd ddZgdZy)) annotationswraps) TYPE_CHECKINGAnyCallableLiteralcastoverloadN) exceptions functions) issue_warning)TypeVar assert_never) ImplementationVersiondeprecate_native_namespacegenerate_temporary_column_name inherit_docis_ordered_categoricalmaybe_align_indexmaybe_convert_dtypesmaybe_get_indexmaybe_reset_indexmaybe_set_indexvalidate_strict_and_pass_though) DataFrame LazyFrame)InvalidIntoExprErrorExpr)_new_series_implconcat show_versions)SchemaSeries) dependenciesdtypes selectors)ArrayBinaryBoolean CategoricalDateDatetimeDecimalDurationEnumFieldFloat32Float64Int8Int16Int32Int64Int128ListObjectStringStructTimeUInt8UInt16UInt32UInt64UInt128Unknown)IntoDataFrameTIntoLazyFrameT)_from_native_implget_native_namespace to_py_scalar)IterableMappingSequence) ModuleType) ParamSpecSelf)IntoArrowTable)ArrowBackend EagerAllowed IntoBackend LazyAllowedPandasPolars)MultiColSelectorMultiIndexSelector)DType) FileSource IntoDTypeIntoExpr IntoFrame IntoSeriesNonNestedLiteralSingleColSelectorSingleIndexSelector_1DArray_2DArray DataFrameTDataFrame[Any])bound LazyFrameTLazyFrame[Any]SeriesT Series[Any]T)defaultPR IntoSeriesTra)riroceZdZejZeedfd Ze dfd Z e ddd dfdZ e d dfd Z e ddZe d dZed!d Ze d"d Ze d#d Z d$fd Zd%fd Z ddd d&fdZeddd'dZed(dZedd d)dZdd d)fdZd*fd Zd*fd Zd+dZxZS),rcd|jtjusJt|||yN)level_versionrV1super__init__selfdfrv __class__s U/var/www/html/jupyter_env/lib/python3.12/site-packages/narwhals/stable/v1/__init__.pyr{zDataFrame.__init__m+{{gjj((( 5)c>t|||}td|SNbackendrh)rz from_arrowr )cls native_framerresultrs rrzDataFrame.from_arrowus'#L'#B$f--rNrc@t||||}td|Sr)rz from_dictr rdataschemarrrs rrzDataFrame.from_dict|s)"4"A$f--rc@t||||}td|Srrz from_numpyr rs rrzDataFrame.from_numpys)#D&'#B$f--rc"tdtS)Ntype[Series[Any]])r r'r}s r_serieszDataFrame._seriess'00rc"tdtS)Ntype[LazyFrame[Any]])r rrs r _lazyframezDataFrame._lazyframes*I66rcyNr}items r __getitem__zDataFrame.__getitem__sWZrcyrrrs rrzDataFrame.__getitem__srcyrrrs rrzDataFrame.__getitem__src"t||Sr)rzr)r}rrs rrzDataFrame.__getitem__sw"4((rc"t||Sr)rz get_column)r}namers rrzDataFrame.get_columnsw!$''r)sessionc8tt| ||S)N)rr) _stableifyrzlazy)r}rrrs rrzDataFrame.lazys %',w,HIIr. as_seriescyrrr}rs rto_dictzDataFrame.to_dictsTWrcyrrrs rrzDataFrame.to_dictsMPrTcyrrrs rrzDataFrame.to_dicts9>+,,rr~rrv&Literal['full', 'lazy', 'interchange']returnNone)rrRrIntoBackend[EagerAllowed]rrhr)rMapping[str, Any]r#Mapping[str, DType] | Schema | Noner IntoBackend[EagerAllowed] | Nonerrh)rrfr3Mapping[str, DType] | Schema | Sequence[str] | Nonerrrrh)rr)rr)rz-tuple[SingleIndexSelector, SingleColSelector]rr)rz2str | tuple[MultiIndexSelector, SingleColSelector]rrm)rzSingleIndexSelector | MultiIndexSelector | MultiColSelector | tuple[SingleIndexSelector, MultiColSelector] | tuple[MultiIndexSelector, MultiColSelector]rrQ)ra SingleIndexSelector | SingleColSelector | MultiColSelector | MultiIndexSelector | tuple[SingleIndexSelector, SingleColSelector] | tuple[SingleIndexSelector, MultiColSelector] | tuple[MultiIndexSelector, SingleColSelector] | tuple[MultiIndexSelector, MultiColSelector]rzSeries[Any] | Self | Any)rstrrr')rzIntoBackend[LazyAllowed] | Nonerz Any | Nonerrk)r Literal[True]rzdict[str, Series[Any]])rLiteral[False]rzdict[str, list[Any]])rboolrz-dict[str, Series[Any]] | dict[str, list[Any]])rrmrrQ)__name__ __module__ __qualname__rryrxr NwDataFramer{ classmethodrrrpropertyrrr rrrrrrr __classcell__rs@rrrjszzH**.).7P. .. 7;. 59 ..4. 2 .  ..GK..D. + .  ..1177ZZ F   :     ) : ) " )(48J# J0J J  J47WW PP #'< < 6<<$(4 4 643/-rrceZdZeed fd Zed dZd dZ d dfd Z ddZ ddfd Z dddZ ddd  dd Z xZS)rcd|jtjusJt|||yrurwr|s rr{zLazyFrame.__init__rrctSrrrs r _dataframezLazyFrame._dataframercddlm}ddlm}t ||r d}t |t ||t fr!|jj|dStjt|)Nrr r&z.Mixing Series with LazyFrame is not supported.F) str_as_lit) narwhals.exprr!narwhals.seriesr' isinstance TypeErrorr__narwhals_namespace__parse_into_exprrfrom_invalid_typetype)r}argr!r'msgs r_extract_compliantzLazyFrame._extract_compliantsf '* c6 "BCC. cD#; '..0@@QV@W W"44T#Y??rNc 8tt|dd|i|S)Nrr)rrzcollect)r}rkwargsrs rrzLazyFrame.collects!%'/D'DVDEErcP|jtjSrrrs rrzLazyFrame._l1_normrrc"t||S)Get the last `n` rows.)rztail)r}nrs rrzLazyFrame.tailsw|ArcZ|j|jj||S)zTake every nth row in the DataFrame and return as a new DataFrame. Arguments: n: Gather every *n*-th row. offset: Starting index. roffset)_with_compliant_compliant_frame gather_everyr}rrs rrzLazyFrame.gather_everys0##  ! ! . .6 . B  r)order_byct|tr|gn|}|j|jj ||S)N)rr)rrrrwith_row_index)r}rr order_by_s rrzLazyFrame.with_row_indexsH#-Xs";XJ ##  ! ! 0 0" 1   rrrztype[DataFrame[Any]])rrrrr)rz+IntoBackend[Polars | Pandas | Arrow] | Nonerrrrhr)rintrrQrrrrrrrQ)index)rrrzstr | Sequence[str] | NonerrQ)rrrr NwLazyFramer{rrrrrrrrrrs@rrrs** @FJFBFUXF F -  "  MQ    0J    rrc eZdZejZee d fd Ze d dfd Z e d dfd Z e ddZ dfd Zddddd dfd Z ddd d  dfd ZxZS)r'cd|jtjusJt|||yrurw)r}seriesrvrs rr{zSeries.__init__!s-'**,,, u-rNcBt|||||}td|SNrrmrrrvaluesdtyperrrs rrzSeries.from_numpy+s*#D&%#IM6**rcBt|||||}td|Sr)rz from_iterabler rs rr zSeries.from_iterable7s*&tVUG&LM6**rctSrrrs rrzSeries._dataframeCrrc2tt| Sr)rrzto_framers rr zSeries.to_frameGs%'*,--rFsortparallelr normalizec<tt| ||||S)Nr)rrz value_counts)r}rrrrrs rrzSeries.value_countsJs- G H49 !   rT) bin_countinclude_breakpointcbddlm}d}t||tt||||S)Nr)NarwhalsUnstableWarningzZ`Series.hist` is being called from the stable API although considered an unstable feature.)binsrr)narwhals.exceptionsrrrrzhist)r}rrrrrrs rrz Series.histXsF @ #  c23 GLYCU    r)rrrvrrrr) rrrrerIntoDType | Nonerrrrm) rrrz Iterable[Any]rrrrrrmr)rrh) rrrrrz str | Nonerrrrh)rzlist[float] | Noner int | Nonerrrrh)rrrrryrxrNwSeriesr{rrr rrr rrrrs@rr'r'smzzH..%K. .. #' + + + + + +  + + #' + + + + + +  + +.              $( !%#'      !     rr'ceZdZdfd ZdddZdddZdddZddddZddd dd Zdd Z dd Z dd Z ddddd ddZ xZ S)r!c t|Sr)rz _taxicab_normrs rrz Expr._l1_normnsw$&&rc0jfdS)zGet the first `n` rows.cDj|jSr)_to_compliant_exprheadplxrr}s rzExpr.head..t//499!<r_with_orderable_filtrationr}rs``rr$z Expr.headq.. <  rc0jfdS)rcDj|jSr)r#rr%s rr'zExpr.tail..zr(rr)r+s``rrz Expr.tailwr,rc4jfdS)zTake every nth value in the Series and return as new Series. Arguments: n: Gather every *n*-th row. offset: Starting index. cHj|jS)Nr)r#r)r&rrr}s rr'z#Expr.gather_every..s"//4AAAfAUrr)rs```rrzExpr.gather_every}s.. U  rN)maintain_ordercT|d}t|tjfdS)z(Return unique values of this expression.zx`maintain_order` has no effect and is only kept around for backwards-compatibility. You can safely remove this argument.cBj|jSr)r#uniquer&r}s rr'zExpr.unique..s1H1H1M1T1T1Vr)r UserWarning_with_filtration)r}r1rs` rr4z Expr.uniques1  %7  #{ +$$%VWWrF descending nulls_lastc4jfdS)z*Sort this column. Place null values first.cHj|jS)Nr8)r#r)r&r9r:r}s rr'zExpr.sort..s'//499%*:r) _with_window)r}r9r:s```rrz Expr.sorts     rc,jfdS)z'Returns the index of the maximum value.cBj|jSr)r#arg_maxr5s rr'zExpr.arg_max..//4<<>r_with_orderable_aggregationrs`rr@z Expr.arg_max// >  rc,jfdS)z'Returns the index of the minimum value.cBj|jSr)r#arg_minr5s rr'zExpr.arg_min..rArrBrs`rrGz Expr.arg_minrDrc,jfdS)z/Find elements where boolean expression is True.cBj|jSr)r#arg_truer5s rr'zExpr.arg_true..s//4==?rr)rs`rrJz Expr.arg_trues.. ?  rfractionwith_replacementseedc<jfdS)aSample randomly from this expression. Arguments: n: Number of items to return. Cannot be used with fraction. fraction: Fraction of items to return. Cannot be used with n. with_replacement: Allow values to be sampled more than once. seed: Seed for the random number generator. If set to None (default), a random seed is generated for each sample operation. cLj|jS)NrK)r#sample)r&rLrrNr}rMs rr'zExpr.sample..s,//4;;H7Gd<r)r7)r}rrLrMrNs`````rrQz Expr.samples"$$   rr) rrr)r1 bool | NonerrQ)r9rr:rrrQr) rrrLz float | NonerMrrNrrrQ)rrrrr$rrr4rr@rGrJrQrrs@rr!r!ms'   7;X*/5     "&!&           rr!cXeZdZejZee d dfd ZxZ S)r%c$t||yr)rzr{)r}rrs rr{zSchema.__init__s  rr)rz8Mapping[str, DType] | Iterable[tuple[str, DType]] | Nonerr) rrrrryrxrNwSchemar{rrs@rr%r%s6zzHQU!N! !!rr%cyrrobjs rrrORrcyrrrXs rrrrZrcyrrrXs rrrCFrcyrrrXs rrrs%(rcNt|tr>t|jj t j |jSt|tr>t|jj t j |jSt|tr>t|jj t j |jSt|tr t|j|j St#|yru)rrrr _with_versionrry_levelrrrr'_compliant_seriesNwExprr!r# _metadatarrXs rrrs #{#--;;GJJGszzZZ#{#--;;GJJGszzZZ#x c++99'**ESZZXX#vC**CMM::rc yrr native_objectkwdss r from_nativerisADrc yrrrfs rririGJrc yrrrfs rririrkrc yrrrfs rriris"r.) eager_only series_onlycyrrrgstrictrneager_or_interchange_onlyro allow_seriess rriri7:r)rsrocyrrrqs rririrur)rnrortcyrrrqs rriri!$rcyrrrqs rriri r)rsrortcyrrrqs rriri+rxrcyrrrqs rriri7rzr)rnrsrocyrrrqs rririC SVr)rnrsrtcyrrrqs rririOr)rnrsrortcyrrrqs rriri[rxrcyrrrqs rririgrxrcyrrrqs rririsrzr)rrrnrortcyrrrqs rririrxr)rrrnrsrortcyrrrqs rririrxr)rrrsrortcyrrrqs rririrxr)rrrnrsrocyrrrqs rriri58r)rrrnrsrtcyrrrqs rririrrcyrrrqs rririrxrcyrrrg pass_throughrnrsrorts rririrxrcyrrrs rririrurcyrrrs rririrxrcyrrrs rririrzrcyrrrs rririrxrcyrrrs rririrzrcyrrrs rririr~rcyrrrs rririrrcyrrrs rriri's=@rcyrrrs rriri3rzr)rrnrortcyrrrs rriri?rxr)rrsrortcyrrrs rririKrxr)rrnrsrocyrrrs rririWrr)rrnrsrtcyrrrs rriricrrrrnrsrortcyrrrs rririorxrcyrrrs rriri{rxrF)rscyrrrs rriris r)rrrrnrsrortc t|ttfr|s|St|tr|s|r|St ||d}|r"dt t |}t|t||||||tjS)aCConvert `native_object` to Narwhals Dataframe, Lazyframe, or Series. See `narwhals.from_native` for full docstring. Note that `native_namespace` is an is the same as `backend` but only accepts module types - for new code, we recommend using `backend`, as that's available beyond just `narwhals.stable.v1`. Fpass_through_defaultz1from_native() got an unexpected keyword argument )rrnrsrortversion) rrrr'rnextiterrrIrry) rgrrrrnrsrortrhrs rriris.-)Y!78-(k\2 5L A$tDzBRAUVn !";!  r)rrcyrrnarwhals_objectrrs r to_nativerrcyrrrs rrrrrcyrrrs rrrrcyrrrs rrrs=@rrcyrrrrs rrrrrcyrrrs rrrrrcyrrrs rrrrrcyrrrs rrrr]r)rrrcRddlm}|||d}tj||S)a#Convert Narwhals object to native one. See `narwhals.to_native` for full docstring. Note that `native_namespace` is an is the same as `backend` but only accepts module types - for new code, we recommend using `backend`, as that's available beyond just `narwhals.stable.v1`. rrFrr)narwhals._utilsrnwr)rrrrrs rrrs,@2 5L <<l CCrTcTt|ddfd }||S||S)a1Decorate function so it becomes dataframe-agnostic. See `narwhals.narwhalify` for full docstring. Note that `native_namespace` is an is the same as `backend` but only accepts module types - for new code, we recommend using `backend`, as that's available beyond just `narwhals.stable.v1`. Trc<tdfd }|S)Nc |Dcgc]}t|  }}|jDcic]\}}|t|  }}}g||jDchc]}t|ddx}r|}}|j dkDr d}t | |i|} t | Scc}wcc}}wcc}w)Nr__native_namespace__z_Found multiple backends. Make sure that all dataframe/series inputs come from the same backend.r)riitemsrgetattr__len__ ValueErrorr)argsrrrvaluevbbackendsrrrtrnrsfuncrros rwrapperz.narwhalify..decorator..wrapper s  !-).G +!-  D *$*<<>  D%k!-).G +!-  F 342&--/2 $:DAAAAH !A%w o%4*6*FV,? ?I  sB=C)C)rrrrrrr)rrrtrnrsrros` r decoratorznarwhalify..decorator s) t% @% @ % @Nr)rCallable[..., Any]rrr)rrrrrnrsrortrs ````` r narwhalifyrs8 3 4L))V | T?rc<ttjSr)rrrrrrrr; bffh rc8ttj|Sr)rrcolnamess rrr?s bffen %%rc8ttj|Sr)rrexcluders rrrCs bjj%( ))rc8ttj|Sr)rrnth)indicess rrrG bffg& ''rc<ttjSr)rrlenrrrrrKrrc@ttj||Sr)rrlit)rrs rrrOs bffUE* ++rc8ttj|Sr)rrmincolumnss rrrSrrc8ttj|Sr)rrmaxrs rrrWrrc8ttj|Sr)rrmeanrs rrr[s bggw' ((rc8ttj|Sr)rrmedianrs rrr_s bii) **rc8ttj|Sr)rrsumrs rrrcrrc8ttj|Sr)rrsum_horizontalexprss rrrg b''/ 00r) ignore_nullsc>ttj|d|iSNr)rrall_horizontalrrs rrrk b''J\J KKrc>ttj|d|iSr)rrany_horizontalrs rrrqrrc8ttj|Sr)rrmean_horizontalrs rrrws b((%0 11rc8ttj|Sr)rrmin_horizontalrs rrr{rrc8ttj|Sr)rrmax_horizontalrs rrrrr separatorrcHttj|g|||dS)Nr)rr concat_str)rrr more_exprss rrrs)  eYjYILY rc@ttj|g|Sr)rrcoalesce)rrs rrrs bkk%5*5 66rc|jS)aLevel of support Narwhals has for current object. Arguments: obj: Dataframe or Series. Returns: This can be one of - 'full': full Narwhals API support - 'lazy': only lazy operations are supported. This excludes anything which involves iterating over rows in Python. - 'interchange': only metadata operations are supported (`df.schema`) )rarXs r get_levelrs ::rc2eZdZeddZdfd ZxZS)Whenc&||jSr) _predicate)rwhens r from_whenzWhen.from_whens4??##rcHtjt| |Sr)Then from_thenrzthenr}rrs rr z When.thens~~egl5122r)rz nw_f.Whenrr)r&IntoExpr | NonNestedLiteral | _1DArrayrr )rrrrr r rrs@rrrs$$33rrc2eZdZeddZdfd ZxZS)r c<||j|jSr)r#rd)rr s rr zThen.from_thens4**DNN;;rc4tt| |Sr)rrz otherwisers rrzThen.otherwises%'+E233r)r z nw_f.Thenrr )rrrr!)rrrrr rrrs@rr r s<<44rr cLtjtj|Sr)rr nw_fr) predicatess rrrs >>$))Z0 11r)required)rnative_namespacecJtd|}tt||||S)a=Instantiate Narwhals Series from iterable (e.g. list or array). See `narwhals.new_series` for full docstring. Note that `native_namespace` is an is the same as `backend` but only accepts module types - for new code, we recommend using `backend`, as that's available beyond just `narwhals.stable.v1`. rr)r rr")rrrrrs r new_seriesrs(.8G &tVUGL MMrcZtd|}ttj||S)aJConstruct a DataFrame from an object which supports the PyCapsule Interface. See `narwhals.from_arrow` for full docstring. Note that `native_namespace` is an is the same as `backend` but only accepts module types - for new code, we recommend using `backend`, as that's available beyond just `narwhals.stable.v1`. rr)r rrr)rrrs rrrs'.8G doolGD EErcDttj|||S)a#Instantiate DataFrame from dictionary. See `narwhals.from_dict` for full docstring. Note that `native_namespace` is an is the same as `backend` but only accepts module types - for new code, we recommend using `backend`, as that's available beyond just `narwhals.stable.v1`. r)rrrrrrrs rrrs dnnT67C DDrc\td|}ttj|||S)a)Construct a DataFrame from a NumPy ndarray. See `narwhals.from_numpy` for full docstring. Note that `native_namespace` is an is the same as `backend` but only accepts module types - for new code, we recommend using `backend`, as that's available beyond just `narwhals.stable.v1`. rr)r rrrrs rrrs).8G doodFGD EErc \td|}ttj|fd|i|S)aRead a CSV file into a DataFrame. See `narwhals.read_csv` for full docstring. Note that `native_namespace` is an is the same as `backend` but only accepts module types - for new code, we recommend using `backend`, as that's available beyond just `narwhals.stable.v1`. rr)r rrread_csvsourcerrrs rr r s/.8G dmmFFGFvF GGrc \td|}ttj|fd|i|S)aLazily read from a CSV file. See `narwhals.scan_csv` for full docstring. Note that `native_namespace` is an is the same as `backend` but only accepts module types - for new code, we recommend using `backend`, as that's available beyond just `narwhals.stable.v1`. IntoBackend[Backend]r)r rrscan_csvr!s rr%r%s/)73G dmmFFGFvF GGrc \td|}ttj|fd|i|S)a*Read into a DataFrame from a parquet file. See `narwhals.read_parquet` for full docstring. Note that `native_namespace` is an is the same as `backend` but only accepts module types - for new code, we recommend using `backend`, as that's available beyond just `narwhals.stable.v1`. rr)r rr read_parquetr!s rr'r'&s1.8G d''JJ6J KKrc \td|}ttj|fd|i|S)a Lazily read from a parquet file. See `narwhals.scan_parquet` for full docstring. Note that `native_namespace` is an is the same as `backend` but only accepts module types - for new code, we recommend using `backend`, as that's available beyond just `narwhals.stable.v1`. r$r)r rr scan_parquetr!s rr)r)8s1)73G d''JJ6J KKr)Qr+r,r-r.rr/r0r1r2r3r!r4r5r6rr7r8r9r:r;rr<r=r%r'r>r?r@rArBrCrDrErFrrrrrr#rr(r)r rrrrirrrrJrrrrrrrrrrrrrrrrrrr r'r%r)r*r$rrrrKr)rYzNwDataFrame[IntoDataFrameT]rDataFrame[IntoDataFrameT])rYzNwLazyFrame[IntoLazyFrameT]rLazyFrame[IntoLazyFrameT])rYzNwSeries[IntoSeriesT]rSeries[IntoSeriesT])rYrcrr!)rYzZNwDataFrame[IntoDataFrameT] | NwLazyFrame[IntoLazyFrameT] | NwSeries[IntoSeriesT] | NwExprrzRDataFrame[IntoDataFrameT] | LazyFrame[IntoLazyFrameT] | Series[IntoSeriesT] | Expr)rgrlrhrrrl)rgrgrhrrrg)rgrjrhrrrj)rgDataFrameT | LazyFrameTrhrrr-)rgIntoDataFrameT | IntoSeriesTrrrrnrrsrrorrtrr/DataFrame[IntoDataFrameT] | Series[IntoSeriesT])rgr.rrrrnrrsrrorrtrrr/)rgrGrrrrnrrsrrorrtrrr*)rgrnrrrrnrrsrrorrtrrrn)rgrGrrrrnrrsrrorrtrrr*)rgrnrrrrnrrsrrorrtrrrn)rg-IntoDataFrameT | IntoLazyFrameT | IntoSeriesTrrrrnrrsrrorrtrrKDataFrame[IntoDataFrameT] | LazyFrame[IntoLazyFrameT] | Series[IntoSeriesT])rgrrrrrrnrrsrrorrtrrr,)rgrGrrrrnrrsrrorrtrrr*)rgrHrrrrnrrsrrorrtrrr+)rgrnrrrrnrrsrrorrtrrrn)rgrGrrLiteral[True] | Nonernrrsrrorrtrrr*)rgrHrrr2rnrrsrrorrtrrr+)rgrGrrr2rnrrsrrorrtrrr*)rgIntoFrame | IntoSeriesrrr2rnrrsrrorrtrr-DataFrame[Any] | LazyFrame[Any] | Series[Any])rgrrrrr2rnrrsrrorrtrrr,)rgrGrrr2rnrrsrrorrtrrr*)rgzIntoDataFrameT | IntoSeriesrrrnrrsrrorrtrrr*)rgr.rrrnrrsrrorrtrrr/)rgrGrrrnrrsrrorrtrrr*)rgrnrrrnrrsrrorrtrrrn)rgrGrrrnrrsrrorrtrrr*)rgrnrrrnrrsrrorrtrrrn)rgr0rrrnrrsrrorrtrrr1)rgrrrrrnrrsrrorrtrrr,)rgzIntoDataFrameT | IntoLazyFrameTrrrnrrsrrorrtrrz5DataFrame[IntoDataFrameT] | LazyFrame[IntoLazyFrameT])rgrnrrrnrrsrrorrtrrrn)rgrGrrrnrrsrrorrtrrr*)rgrGrrrnrrsrrorrtrrr*)rgr3rrrnrrsrrorrtrrr4)rgrrrrrnrrsrrorrtrrr,)rgrGrrrnrrsrrorrtrrr*)rgrHrrrnrrsrrorrtrrr+)rgrrrrnrrsrrorrtrSrr)rgzJIntoDataFrameT | IntoLazyFrameT | IntoFrame | IntoSeriesT | IntoSeries | TrrrSrrSrnrrsrrorrtrSrhrrzOLazyFrame[IntoLazyFrameT] | DataFrame[IntoDataFrameT] | Series[IntoSeriesT] | T)rr*rrrrrG)rr+rrrrrH)rr,rrrrrr)rrrrrrr)rr*rrrrG)rr+rrrrH)rr,rrrrr)rrrrrr)rr1rrrSrrSrz3IntoLazyFrameT | IntoDataFrameT | IntoSeriesT | Anyr)rzCallable[..., Any] | NonerrrSrrSrnrrsrrorrtrSrr)rr!)rzstr | Iterable[str]rr!)rzint | Sequence[int]rr!)rrbrrrr!)rrrr!)rIntoExpr | Iterable[IntoExpr]rr!)rr5rrrr!) rr5rr_rrrrrr!)rr5rr_rr!)rYz5DataFrame[Any] | LazyFrame[Any] | Series[IntoSeriesT]rr)rr5rr) rrrrrrrrrModuleType | Nonerrm)rrRrrrr6rrh) rrrrrrrr6rrh) rrfrrrrrr6rrh) r"r]rrrr6rrrrh) r"r]rzIntoBackend[Backend] | Nonerr6rrrrk) __future__r functoolsrtypingrrrr r r narwhalsrr r rnarwhals._exceptionsrnarwhals._typing_compatrrrrrrrrrrrrrrrnarwhals.dataframerrrrrrrr!rcnarwhals.functionsr"r#r$narwhals.schemar%rVrr'rnarwhals.stable.v1r(r)r*narwhals.stable.v1.dtypesr+r,r-r.r/r0r1r2r3r4r5r6r7r8r9r:r;r<r=r>r?r@rArBrCrDrErFnarwhals.stable.v1.typingrGrHnarwhals.translaterIrJrKcollections.abcrLrMrNtypesrOtyping_extensionsrPrQnarwhals._translaterRnarwhals._typingrSrTrUrVrWrXrYrZr[narwhals.dtypesr\narwhals.typingr]r^r_r`rarbrcrdrerfrgrjrlrnrprqrrrrirrrrrrrrrrrrrrrrrrrrrrrr rrrrrr r%r'r)__all__rrrrLs"HH2.9    R4(FF..>><ETT;; 12H%   -=>J-=>Ji}5GS!A#A Am<E v- N+v-r8 N+8 vL Xk "L ^T 6T n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d42T*#N 15*. N N N N . N ( NN+N$T*15*. F  F. F( F  F+ F 37 E15*. E  E / E. E ( E  E E T*CGF15*. F F ?F. F ( F  F+F"T*15*. H H.H( H  H  H+H"T*,0*. H H)H( H  H  H+H"T*15*. L L.L( L  L  L+L"T*,0*. L L)L( L  L  L+L"R r